Center for Biosciences and Informatics, School of Fundamental Science and Technology, Keio University, Kohoku-ku, Yokohama, Japan.
PLoS One. 2010 Feb 11;5(2):e9164. doi: 10.1371/journal.pone.0009164.
Cyclic GMP (cGMP) regulates many physiological processes by cooperating with the other signaling molecules such as cyclic AMP (cAMP) and Ca(2+). Genetically encoded sensors for cGMP have been developed based on fluorescence resonance energy transfer (FRET) between fluorescent proteins. However, to analyze the dynamic relationship among these second messengers, combined use of existing sensors in a single cell is inadequate because of the significant spectral overlaps. A single wavelength indicator is an effective alternative to avoid this problem, but color variants of a single fluorescent protein-based biosensor are limited. In this study, to construct a new color fluorescent sensor, we converted the FRET-based sensor into a single wavelength indicator using a dark FRET acceptor. We developed a blue fluorescent cGMP biosensor, which is spectrally compatible with a FRET-based cAMP sensor using cyan and yellow fluorescent proteins (CFP/YFP). We cotransfected them and loaded a red fluorescent probe for Ca(2+) into cells, and accomplished triple-parameter fluorescence imaging of these cyclic nucleotides and Ca(2+), confirming the applicability of this combination to individually monitor their dynamics in a single cell. This blue fluorescent sensor and the approach using this FRET pair would be useful for multiparameter fluorescence imaging to understand complex signal transduction networks.
环鸟苷酸 (cGMP) 通过与其他信号分子(如环腺苷酸 (cAMP) 和 Ca(2+))合作来调节许多生理过程。已经基于荧光共振能量转移 (FRET) 在荧光蛋白之间开发了用于 cGMP 的基因编码传感器。然而,为了分析这些第二信使之间的动态关系,由于光谱重叠显著,在单个细胞中联合使用现有传感器是不够的。单波长指示剂是避免此问题的有效替代方法,但单个荧光蛋白基生物传感器的颜色变体是有限的。在这项研究中,为了构建新的彩色荧光传感器,我们使用暗 FRET 受体将基于 FRET 的传感器转换为单波长指示剂。我们开发了一种蓝色荧光 cGMP 生物传感器,它与使用青色和黄色荧光蛋白 (CFP/YFP) 的基于 FRET 的 cAMP 传感器在光谱上兼容。我们共转染它们,并将红色荧光探针用于 Ca(2+) 加载到细胞中,完成了这些环核苷酸和 Ca(2+) 的三参数荧光成像,证实了这种组合适用于在单个细胞中单独监测它们的动力学。这种蓝色荧光传感器和使用这种 FRET 对的方法将有助于多参数荧光成像,以理解复杂的信号转导网络。